Conversations about the economy taking shape around us, where AI, automation and data are quietly changing how value gets made. We look at where intelligence really comes from, whether people, processes, platforms or machines, and search out an ethical path forward.
Why the thing that creates value is no longer labour or capital, but the capacity to think.
Autonomous systems are redrawing the boundaries of the firm. What still needs a human in the loop?
As judgement is augmented, management becomes the design of good decisions at scale.
When anything can be generated, knowing where something came from becomes the scarce and valuable thing.
When everyone can reach the same models, what a firm remembers becomes its real advantage.
How continuous learning is replacing the static qualification as the unit of economic value.
The next economy will not be defined by labour or capital, but by intelligence: how we create it, organise it, augment it and turn it into value.
If software can plan and act, the old case for holding work inside a company starts to wobble.
Augmented judgement turns management into the quiet craft of designing better decisions.
When anything can be generated, the receipt matters more than the artefact.
Everyone can reach the same models, so the advantage shifts to what a firm actually remembers.
Static credentials age badly in an economy that rewrites roles every few years.
Coming soon
Will McKenzie is a creative leader and designer with a strong interest in human-centred design and the future of creativity. He is interested in how emerging technologies can…
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Rob Kester has spent many years at the forefront of the memory and semiconductor industry. As Regional Director at Legend Asia, he brings deep expertise in technology distribution,…
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Emon Khan leads DevWorks, where he specialises in AI-based software engineering and full stack development. He is interested in translating advances in artificial intelligence into practical software systems,…
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On what an intelligent economy should measure, and why prosperity is more than output.
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On inclusion, public policy, and who the intelligence economy must not leave behind.
Coming soon
On markets, technology and the systems that turn data and intelligence into value.
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Arjun Agarwal is a financial sector innovator focused on impact investment and financial inclusion. He is interested in how capital can be directed towards measurable social and environmental…
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On systems thinking and the long view of how intelligence creates value.
On evidence, economics and the institutions an intelligent economy will test.
More researchers, founders and policymakers who are shaping how we think about AI, automation and evidence.
There is a shift underway that is easy to feel and hard to name. As AI, automation and data-driven decisions become the engine of growth, advantage moves to those who can create, organise and apply intelligence well. The useful question is no longer whether the technology is coming, but where the thinking in your organisation comes from, how well you look after it, and what an ethical path forward actually looks like.
Each episode takes one part of that story and works through it carefully, with people who are doing the work rather than commentating on it. No hype, no doom, just clear thinking about what is changing, what it asks of us, and how to get it right. Your host is Dr. Michael D’Rosario, who works across economics, AI, public policy and data science as Head of Research at Prosper Australia, Director of Econometric Analysis and Data Science at Per Capita, a lecturer on the Adelaide University MBA, Executive Education Lead for Evidence in Public Policy at Oxford, and an Industry Facilitator on the LSE AI Accelerator.
“AI and automation are the big story of this decade. But you cannot read that story properly without seeing the intelligent economy underneath it, and asking where the thinking comes from.”
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